Measurement of internal body time by blood metabolomics

Detection of internal body time (BT) via a few-time-point assay has been a longstanding challenge in medicine, because BT information can be exploited to maximize potency and minimize toxicity during drug administration and thus will enable highly optimized medication. To address this challenge, we...

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Published inProceedings of the National Academy of Sciences - PNAS Vol. 106; no. 24; pp. 9890 - 9895
Main Authors Minami, Yoichi, Kasukawa, Takeya, Kakazu, Yuji, Iigo, Masayuki, Sugimoto, Masahiro, Ikeda, Satsuki, Yasui, Akira, van der Horst, Gijsbertus T.J, Soga, Tomoyoshi, Ueda, Hiroki R
Format Journal Article
LanguageEnglish
Published United States National Academy of Sciences 16.06.2009
National Acad Sciences
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Summary:Detection of internal body time (BT) via a few-time-point assay has been a longstanding challenge in medicine, because BT information can be exploited to maximize potency and minimize toxicity during drug administration and thus will enable highly optimized medication. To address this challenge, we previously developed the concept, "molecular-timetable method," which was originally inspired by Linné's flower clock. In Linné's flower clock, one can estimate the time of the day by watching the opening and closing pattern of various flowers. Similarly, in the molecular-timetable method, one can measure the BT of the day by profiling the up and down patterns of substances in the molecular timetable. To make this method clinically feasible, we now performed blood metabolome analysis and here report the successful quantification of hundreds of clock-controlled metabolites in mouse plasma. Based on circadian blood metabolomics, we can detect individual BT under various conditions, demonstrating its robustness against genetic background, sex, age, and feeding differences. The power of this method is also demonstrated by the sensitive and accurate detection of circadian rhythm disorder in jet-lagged mice. These results suggest the potential for metabolomics-based detection of BT ("metabolite-timetable method"), which will lead to the realization of chronotherapy and personalized medicine.
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Edited by Joseph S. Takahashi, Northwestern University, Evanston, IL, and approved April 21, 2009
1Y.M., T.K., and Y.K. contributed equally to this work.
Author contributions: Y.M., T.K., T.S., and H.R.U. designed research; Y.M., T.K., Y.K., M.I., and S.I. performed research; M.S., A.Y., and G.T.J.v.d.H. contributed new reagents/analytic tools; T.K. analyzed data; and Y.M., T.K., T.S., and H.R.U. wrote the paper.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.0900617106